Data Visualization with R and ggplot2

About Data Visualization with R and ggplot2

Today we live in a world where tons of data is generated every second. We need to

analyze data

to get some

useful insight

. One of the strongest weapons for data insight is

data visualization

. Probably you have heard this one before: "

_A picture tells more than a thousand words combined_

". Therefore to tell stories from the data we need tools for producing adequate and amazing graphics. Here

R

as one of the most rapidly growing tools in the fields of

data science

and

statistics

provides needed assistance. If you combine

R

with its library

ggplot2

you get one of the

deadliest tools

for

data visualization

, which

grows every day

and is

freely accessible

to

anyone

. This course is designed to first give you quick and proper

theoretical foundations

for creating

statistical plots

. Then you dive into the world of

exploratory data analysis

where you are confronted with

different datasets

and

creating

a

wide variety

of

statistical plots

. If you take this course, you will learn a ton of new things. Here are just a few

topics

you will be engaged with:

The grammar of graphics

(the idea behind statistical plots, the foundation of ggplot2)

Data transformation

with

dplyr

and

tidyr

(crash course included)

Exploratory data analysis

(

EDA

) (statistical plots for exploring one continuous or one discrete variable)

EDA

for exploring

two

or

more variables

(different statistical plots)

Combine

ggplot2

with

RMarkdown

to wrap up your analysis and produce

HTML reports

Create some

additional types

of

plots

by

word cloud

,

parallel coordinates plot

,

heat map

,

radar plot

, ...)

Draw

maps

to show the

spread

of

coronavirus disease

Customize the plot's

theme

Create

subplots

using

cowplot

library

Highlight data

on your plot with

gghighlight

library

and much more... Course includes:

over

20 hours

of

lecture videos

,

R scripts

and

additional data

(provided in the course material),

engagement with

assignments

, where you have to test your skills,

assignments walkthrough videos

(where you can check your results). All being said this makes one of

Udemy's most comprehensive courses

for

data visualization

using

R

and

ggplot2

.

Enroll today and become the master of data visualization!!!